Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Duca, Anton"'
Autor:
Ciuprina, Gabriela, Ioan, Daniel, Lup, Aurel-Sorin, Silveira, Luis Miguel, Duca, Anton, Kraft, Michael
Publikováno v:
COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, 2019, Vol. 39, Issue 2, pp. 511-523.
Autor:
Lup, Aurel-Sorin, Ciuprina, Gabriela, Ioan, Daniel, Duca, Anton, Nicoloiu, Alexandra, Vasilache, Dan
Publikováno v:
COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, 2020, Vol. 39, Issue 2, pp. 497-509.
Publikováno v:
Komunikácie - vedecké listy Žilinskej univerzity v Žiline / Communications - Scientific Letters of the University of Žilina. 17(1A):17-22
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1121961
Autor:
Janousek, Ladislav, Rebican, Mihai Iulian, Smetana, Milan, Strapacova, Tatiana, Duca, Anton, Pernisova, Viera
Publikováno v:
Komunikácie - vedecké listy Žilinskej univerzity v Žiline / Communications - Scientific Letters of the University of Žilina. 15(2):102-108
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1123149
Autor:
Duca, Anton1,2 (AUTHOR) anton.duca@upb.ro, Duca, Laurentiu2 (AUTHOR), Ciuprina, Gabriela1 (AUTHOR)
Publikováno v:
International Journal of Applied Electromagnetics & Mechanics. 2019, Vol. 59 Issue 1, p63-69. 7p.
Autor:
Duca, Anton1 anton.duca@upb.ro, Duca, Laurentiu2, Ciuprina, Gabriela1, Yilmaz, Asim Egemen3, Altinoz, Tolga3
Publikováno v:
International Journal of Applied Electromagnetics & Mechanics. 2017 Supplement, Vol. 53, pS249-S259. 11p.
Akademický článek
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The behavior of Particle Swarm Optimization (PSO), a population based optimization algorithm, depends on the movements of the particles and the attractions among them. This behavior was extracted from the observations of the swarms in nature. Every s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::dc0194ea661a45267ce4649bcefd7b28
https://aperta.ulakbim.gov.tr/record/61393
https://aperta.ulakbim.gov.tr/record/61393
This paper presents a novel approach for diagnosis of real cracks from two-dimensional eddy current testing signals by means of a stochastic method, such as tabu search. A new testing probe driving uniformly distributed eddy currents is employed for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::127c5fc75ad96814addf39cb63f76850
https://aperta.ulakbim.gov.tr/record/66197
https://aperta.ulakbim.gov.tr/record/66197
Publikováno v:
Computational Intelligence: International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers; 2017, p75-95, 21p